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Qualitative profiles of disability

Author
Annicchiarico, R.; Gibert, Karina; Cortes, U.; Campana, F.; Caltagirone, C.
Type of activity
Journal article
Journal
Journal of rehabilitation research and development
Date of publication
2004-12
Volume
41
Number
6A
First page
835
Last page
845
DOI
https://doi.org/10.1682/JRRD.2004.02.0016 Open in new window
URL
http://www.rehab.research.va.gov/jour/04/41/6/absannicchiarico.html Open in new window
Abstract
This study identified profiles of functional disability (FD) paralleled by increasing levels of disability. We assessed 96 subjects using the World Health Organization Disability Assessment Schedule II (WHODAS II). Clustering Based on Rules (ClBR) (a hybrid technique of Statistics and Artificial Intelligence) was used in the analysis. Four groups of subjects with different profiles of FD were ordered according to an increasing degree of disability: "Low," self-dependent subjects with no physical...
Keywords
Artificial intelligence, Cluster analysis, Disability profiles, Functional disability, Knowledge Discovery, Qualitative analysis, Rehabilitation
Group of research
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
KEMLG - Knowledge Engineering and Machine Learning Group

Participants